Computer Vision -- ECCV 2010

1. Front Matter

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2. Visual Learning

   1. Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation

      • Zhiwu Lu, Horace H. S. Ip

      Pages 1-14

   2. Object Recognition with Hierarchical Stel Models

      • Alessandro Perina, Nebojsa Jojic, Umberto Castellani, Marco Cristani, Vittorio Murino

      Pages 15-28

   3. MIForests: Multiple-Instance Learning with Randomized Trees

      • Christian Leistner, Amir Saffari, Horst Bischof

      Pages 29-42

   4. Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations

      • Stefan Sommer, François Lauze, Søren Hauberg, Mads Nielsen

      Pages 43-56

   5. Stacked Hierarchical Labeling

      • Daniel Munoz, J. Andrew Bagnell, Martial Hebert

      Pages 57-70

3. Spotlights and Posters R2

   1. Fully Isotropic Fast Marching Methods on Cartesian Grids

      • Vikram Appia, Anthony Yezzi

      Pages 71-83

   2. Clustering Complex Data with Group-Dependent Feature Selection

      • Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh

      Pages 84-97

   3. On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation

      • Sebastian Nowozin, Peter V. Gehler, Christoph H. Lampert

      Pages 98-111

   4. Exploring the Identity Manifold: Constrained Operations in Face Space

      • Ankur Patel, William A. P. Smith

      Pages 112-125

   5. Multi-label Linear Discriminant Analysis

      • Hua Wang, Chris Ding, Heng Huang

      Pages 126-139

   6. Convolutional Learning of Spatio-temporal Features

      • Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler

      Pages 140-153

   7. Learning Pre-attentive Driving Behaviour from Holistic Visual Features

      • Nicolas Pugeault, Richard Bowden

      Pages 154-167

   8. Detecting People Using Mutually Consistent Poselet Activations

      • Lubomir Bourdev, Subhransu Maji, Thomas Brox, Jitendra Malik

      Pages 168-181

   9. Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo

      • Stefan Walk, Konrad Schindler, Bernt Schiele

      Pages 182-195

   10. Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos

       • Giovanni Gualdi, Andrea Prati, Rita Cucchiara

       Pages 196-209

   11. Learning to Detect Roads in High-Resolution Aerial Images

       • Volodymyr Mnih, Geoffrey E. Hinton

       Pages 210-223

   12. Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry

       • Varsha Hedau, Derek Hoiem, David Forsyth

       Pages 224-237

   13. A Structural Filter Approach to Human Detection

       • Genquan Duan, Haizhou Ai, Shihong Lao

       Pages 238-251

   14. Geometric Constraints for Human Detection in Aerial Imagery

       • Vladimir Reilly, Berkan Solmaz, Mubarak Shah

       Pages 252-265

The 2010 edition of the European Conference on Computer Vision was held in Heraklion, Crete. The call for papers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at least two times as Area Chairs within the past two years at major vision conferences were excluded; (2) Researchers who served as Area Chairs at the 2010 Computer Vision and Pattern Recognition were also excluded (exception: ECCV 2012 Program Chairs); (3) Minimization of overlap introduced by Area Chairs being former student and advisors; (4) 20% of the Area Chairs had never served before in a major conference; (5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. EachArea Chair was assigned by the Program Chairs between 28–32 papers. Based on paper content, the Area Chair recommended up to seven potential reviewers per paper. Such assignment was made using all reviewers in the database including the conflicting ones. The Program Chairs manually entered the missing conflict domains of approximately 300 reviewers. Based on the recommendation of the Area Chairs, three reviewers were selected per paper (with at least one being of the top three suggestions), with 99.

• biometrics
• computational imaging
• face recognition
• gesture recognition
• illumination
• image alignment
• image analysis
• image grouping
• image matching
• image segmentation
• medical image analysis
• reflectance
• scene representation
• shape representation
• stereo images
• algorithm analysis and problem complexity

• GRASP Laboratory, University of Pennsylvania, Philadelphia, USA

  Kostas Daniilidis

• School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

  Petros Maragos

• Department of Applied Mathematics, Ecole Centrale de Paris, Chatenay-Malabry, France

  Nikos Paragios

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